This document discusses how Course5 uses artificial intelligence to optimize market research operations. It introduces their Optimizer Suite platform, which uses technologies like robotic process automation, natural language processing, and machine learning to drive speed, efficiency and optimization across every step of the market research process. This reduces overall turnaround times. The platform works by automatically parsing inputs, linking processes, and facilitating self-learning to handle a variety of formats with no manual intervention. This allows organizations to accelerate speed to market, improve efficiency, reduce costs, lower people dependency, and deliver higher quality work.

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ACCELERATED
SPEED-TO-MARKET
Transforming Research
Operations with AI

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About Course5
We drive Digital Transformation for businesses through
Our Values
Customer Centricity,
Innovation, Empowerment
Recognition
Deloitte Technology Fast 50 (4 years) | Red Herring Top
100 Asia/Global and One of the Most Innovative
Company (3 years) | Fortune Global Outsourcing 100
Rising Star (3 years) | Top 10 Analytics and Data Science
Providers in India (2017) by Analytics India Magazine
Analytics Insights Artificial Intelligence
We build for organizations the capabilities and intelligence to make the most effective strategic
and tactical decisions related to customers, markets, and competition.

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Housekeeping Items
Recording
Recording will be available on our
website www.course5i.com
Twitter
Continue the conversation on
Twitter using #MRwithAI
Questions
You can ask questions at any time
using the Q&A Panel

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About Presenters
Poonam Dave
VP- Operations
Dan Foreman
Market Research Leader &
ESOMAR Past President

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AI
HYPE vs REALITY

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What will you take away?
• How are we using AI to fast-track MR Operations?
• Can I get results faster from the first day of deploying this platform
• Does this get better with time? Can I see my operations getting more efficient?
• What kind of impact can we expect from AI?

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Market Research Operations Life Stages
Method/
Approach
Questionnaire
Design
Survey
Programming
Fieldwork
Data
Processing
Reports
Insights

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Know challenges
Linear
process
Multiple
Platforms
Person
Dependency
Compromised
Innovations

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What is the
Optimizer Suite (OS)?
OS is an AI based platform that
helps optimize MR operations by
using various AI modules like RPA,
rich NLP and high order ML.
Helps drive speed, efficiency and
optimization
in every step of the MR process thus
reducing overall turn-around-time.

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Why the AI way?
Basic Technology Route AI based RPA approach
• Not dynamic – does not read variety of input
formats, causing limitations in adaptability
and usage
• Possible impact to ‘Quality’ due to manual
intervention
• Solution output is not platform agnostic
• Limitations to interlink the solution across the
downstream processes, preventing larger
efficiencies
• Self learning engines - facilitates parsing of
patterns regardless of input formats with no
manual intervention
• Platform driven outputs causing no
compromise to ‘Quality’
• Solution output can work across various
platforms
• Linkages exist across the entire process
generating efficiencies and quality

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How does it work?

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AI Parser
Elements identified via parsing
Review outcome on OS UI
No manual intervention in this process
Changes recorded via self-learning platform
AI being constantly enhanced via AI team

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DEMO

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Overall Optimizer Suite Vision
• Type of study and
industry wise
questionnaire
repository
• Drag and drop
options to create
new studies
• Automated Brand
coding with auto
updated taxonomies
• Machine learning
applied OE coding
• Text analytics for
deeper insights
• Automated charting
reports
• Drag and drop options
for charts for ad-hoc
reporting needs
• BI integration via APIs
• Data Cleaning, Data file
preparation
• Automated and custom
Table generation

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What does this mean to you?
Accelerate Speed
to Market
OS to drive the much
required speed and
efficiency in the
process to accelerate
your projects
Improved overall
efficiency
With improvement in
overall efficiency;
ability to take on more
projects with same
bandwidth
Cost Savings
Y-on-Y improvement
in costs
Reduced people
dependency
With OS driven
efficiencies the focus
will be to upskill &
deliver higher quality
with fewer headcounts

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Questions ?
Dan Foreman
Dan.Foreman@course5i.com
Poonam Dave
Poonam.Dave@course5i.com
United States | United Kingdom |
India | United Arab Emirates
www.course5i.com

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https://www.course5i.com/
THANK YOU